963 resultados para HPLC-ELSD


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用高效液相色谱法建立唐古特大黄乙醇提取物的指纹图谱分析方法.采用Phenomenex Kromasil C_(18)色谱柱(4.6mm×250mm, 5μm);甲醇 - 0.1% H_3PO_4为流动相,梯度洗脱,检测波长为270nm,以大黄酸为参照峰.结果共有18个共有峰.此法为有效地控制唐古特大黄乙醇提取物的质量提供了依据.

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目的建立了青海地区唐古特大黄药材的HPLC指纹图谱.方法采用反相高效液相色谱法,乙腈-水(0.04%的磷酸)为流动相,梯度洗脱,体积流量1.0 mL/min,检测波长为280 nm,柱温为40 C.结果精密度、重现性、稳定性试验中共有峰面积和保留时间的RSD均小于5%.青海不同采集地唐古特大黄的平均相似度为0.925.结论该方法简便、实用、可靠,可用于以青海果洛地区为主产地不同海拔唐古特大黄药材质量标准的分析检测,也为栽培大黄代替野生大黄提供理论基础.

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目的:对野生和栽培藏药麻花艽中龙胆苦苷、落干酸、獐牙菜苦苷和獐牙菜苷4种苦苷类成分进行高效液相色谱的含量测定,并比较分析它们之间的差异。方法:采用Eelipse XDB-C_8色潜柱(4.6 mm*150 mm,5 μm),流动相A为95%乙腈水溶液,B为5%乙腈(含10 mmol•L~(-1)的甲酸)水溶液,A在0-20min内比例由0-100%进行线性洗脱,流速1.0 mL•min~(-1),检测波长240 nm,柱温30℃。结果:4种成分均达到基线分离,龙胆菁苷、落干酸、獐牙菜苦苷、獐牙菜苷的线性范围分别为0.60~19•20μg(r=0.9999),0.24~7.68μg(r=O.9999),0.38-12.02μg(r=O.9999),0.05~1.66μg(r=0.9999);回收率分别为99.73%,98.13%,98.45%,96.22%。结论:栽培藏药麻花艽中苦苷类成分的含量已经接近或超过野生种的水平,可初步代替野生药材人药。

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目的:建立反相高效液相色谱法同时测定刺芒龙胆植物不同部位落干酸、獐牙菜苦苷、龙胆苦苷的含量。方法:采用ZORBAX SB-C18(250mm×4.6mm,5μm)色谱柱,流动相为甲醇-水(含0.04%磷酸)的比例25:75,流速1mL·min^-1,检测波长238nm,柱温30℃。结果:3种成分均达到基线分离,落干酸、獐牙莱苦苷、龙胆苦苷的线性范围分别为0.039~1.56μg(r=0.9998),0.0725~1.45μg(r=0.9999),0.061~1.225μg(r=0.9997);回收率为101.3%(RSD=2.6%),98.7%(RSD=3.1%,99.6%(RSD=1.2%)。结论:测定方法快速,结果准确、可靠。

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目的建立能安均宁胶囊(主要由北寒水石,石榴子,荜茇等组成)中胡椒碱含量的测定方法.方法采用SPE-HPLC法,使用Kromasil C18柱,胡椒碱流动相为甲醇-水(77∶23);检测波长为343nm.结果胡椒碱平均回收率为99.07%,RSD%=2.43%(n=3).结论该方法简便、准确、重现性好,可以用作能安均宁胶囊质量控制.

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建立测定了岩白菜中岩白菜素含量的方法.色谱柱:Waters C18柱(5 μm×3.9 mm×150 mm),流动相:甲醇∶水∶磷酸=20∶80∶0.1,流速为1.0 mL/min,检测波长275 nm,AUFS 0.01,柱温为室温.结果表明,岩白菜素在0.16~0.08 μg有良好线性关系,r=0.999 2,平均回收率为98.14%,RSD为1.12%.本方法是测定岩白菜中岩白菜素含量的快速、简便、准确可靠的定量方法.

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目的:建立反相高效液相色谱法同时测定獐牙菜及其近缘植物中番木鳖酸、獐牙菜苦苷、龙胆苦苷、芒果苷的含量。方法:采用ZORBAX SB—C18(250 mm×4.6mm,5μm)色谱柱,以流动相甲醇和水(含0.04%磷酸)的比例在0-24 min内由22:78至38:62线性梯度洗脱,流速1 mL•min~1,检测波长254 nm,柱温30℃。结果:4种成分均达到基线分离,番木鳖酸、獐牙菜苦苷、龙胆苦苷、芒果苷的线性范围分别为0.05—6.25μg(r=0.9999),0.0095—2.9 μg(r=0.9998),0.0486—2.56μg(r=0.9999),0.0056—2.8μg(r=0.9998);回收率为102%(RSD=4.4%),97.7%(RSD=4.3%),99.5%(RSD=3.5%),103%(RSD=1.1%)。结论:方法测定快速,结果准确、可靠。

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应用反相高效液相色谱法同时测定藏药秦艽、麻花艽中落干酸、龙胆苦甙含量.并比较了加热回流提取及超声提取两种方法对分析结果的影响.还测定了两种藏药全草及根、茎、叶、花等不同部位两种成分的含量.

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采用反相高效液相色谱-二极管阵列的检测方法,对不同产地的10批野生和栽培抱茎獐牙菜药材的水溶性成分进行了分析,建立了抱茎獐牙菜药材的指纹图谱.色谱柱为VP-ODS C18柱(5 μm,150 mm×4.6 mm),流动相为甲醇-0.02%的磷酸水溶液,检测波长254 nm.用文中的最佳条件可较全面地反映抱茎獐牙菜的主要成分,为藏药抱茎獐牙菜的质量控制提供了科学依据.

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麻黄为常用中药,其中含有多种有机胺类生物碱,主要成分为L-麻黄碱、D-麻黄碱,具有松弛平滑肌、收缩血管、抗炎、兴奋中枢等作用[1],但如果用量过大或长期使用,会产生震颤、焦虑失眠、心悸等副作用,其含量常作为评价药材品质及其复方制剂质量标准的主要指标[2].麻杏石甘丸和鹏力止鼾颗粒均是以麻黄为主要原料的复方制剂,因此对其进行含量测定是控制麻杏石甘丸和鹏力止鼾颗粒质量的关键.目前国内外学者对麻黄中麻黄碱含量的测定报道较多[3,4],本文采用HPLC法测定其中的麻黄碱含量,现将结果报道如下。

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利用高效液相色谱法建立了青藏高原红景天的色谱指纹图谱.固定相采用C18反相色谱柱,流动相为甲醇:0.1%磷酸水(v/v=15:85);检测波长220 nm;流速为1.0 mL/min.通过比较发现红景天样品的8个主要共有峰,可作为鉴别红景天药材的主要依据.方法简便快速,为中药品种的鉴定提供了较全面的信息.

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A new labeling reagent, 1-(2-naphthyl)-3-methyl-5-pyrazolone (NMP), coupling with liquid chromatography (LC) with electrospray ionization mass spectrometry (ESI-MS) for the detection of carbohydrates from a famous Tibetan medicine is reported. Carbohydrates were derivatized to their bis-NMP-labeled derivatives. The method, in conjunction with a gradient elution, offered a baseline resolution of carbohydrate derivatives on a reversed phase Hypersil ODS-2 column. The carbohydrates such as mannose, galacturonic acid, glucuronic acid, rhamnose, glucose, galactose, xylose, arabinose, and fucose could be successfully detected by UV and ESI-MS. Derivatives showed intense protonated molecular ion at m/z [M+H]+ in positive ion mode. The mass to charge ratios of characteristic fragment ions at m/z 473.0 could be used for the accurately qualitative identification of carbohydrates; this characteristic fragment ion was from the cleavage of C2-C3 bond in the carbohydrate chain giving the specific fragment ions at m/z [MH-CmH2m+1Om-H2O](+) for pentose, hexose, and glyceraldehydes, and at m/z [MH-CmH2m-1Om+1-H2O](+) for alduronic acids, such as galacturonic acid and glucuronic acid (m=n-2, n is carbon atom number of carbohydrate). Compared with the traditional 1-phenyl-3-methyl-5-pyrazolone (PMP) reagent, currently synthesized NMP show the advantage of higher sensitivity to carbohydrate compounds with UV and ESI-MS detection.

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2-(2-Phenyl-1H-phenanthro-[9,10-d]imidazole-1-yl)-acetic acid (PPIA) and 2-(9-acridone)-acetic acid (AAA), two novel precolumn fluorescent derivatization reagents, have been developed and compared for analysis of primary aromatic amines by high performance liquid chromatographic fluorescence detection coupled with online mass spectrometric identification. PPIA and AAA react rapidly and smoothly with the aromatic amines on the basis of a condensation reaction using 1-ethyl-3-(3dimethylaminopropyl)-carbodiimide (EDC) as dehydrating catalyst to form stable derivatives with emission wavelengths at 380 and 440 nm, respectively. Taking six primary aromatic amines (aniline, 2-methylaniline, 2-methoxyaniline, 4-methylaniline, 4-chloroaniline, and 4-bromoaniline) as testing compounds, derivatization conditions such as coupling reagent, basic catalyst, reaction temperature and time, reaction solvent, and fluorescent labeling reagent concentration have also been investigated. With the better PPIA method, chromatographic separation of derivatized aromatic amines exhibited a good baseline resolution on an RP column. At the same time, by online mass spectrometric identification with atmospheric pressure chemical ionization (APCI) source in positive ion mode, the PPIA-labeled derivatives were characterized by easy-to-interpret mass spectra due to the prominent protonated molecular ion m/z [M + H](+) and specific fragment ions (MS/MS) m/z 335 and 295. The linear range is 24.41 fmol-200.0 pmol with correlation coefficients in the range of 0.9996-0.9999, and detection limits of PPIA-labeled aromatic amines are 0.12-0.21 nmol/L (S/N = 3). Method repeatability, precision, and recovery were evaluated and the results were excellent for the efficient HPLC analysis. The most important argument, however, was the high sensitivity and ease-of-handling of the PPIA method. Preliminary experiments with wastewater samples collected from the waterspout of a paper mill and its nearby soil where pollution with aromatic amines may be expected show that the method is highly validated with little interference in the chromatogram.

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The seed oil from Nitraria tangutorum samples was obtained by supercritical carbon dioxide extraction methods. The extraction parameters for this methodology, including pressure, temperature, particle size and extraction time, were optimized. The free fatty acids in the seed oil were separated with a pre-column derivation method and 1,2-benzo-3,4-dihydrocarbazole-9-ethyl-p-toluenesulfonate (BDETS) as a labeling regent, followed by high-performance liquid chromatography (HPLC) with fluorescence detection. The target compounds were identified by mass spectrometry with atmospheric pressure chemical ionization (APCI in positive-ion mode). HPLC analysis shows that the main compositions of the seed oil samples were free fatty acids (FFAs) in high to low concentrations as follows: linoleic acid, oleic acid, hexadecanoic acid and octadecanoic acid. The assay detection limits (at signal-to-noise of 3:1) were 3.378-6.572 nmol/L. Excellent linear responses were observed, with correlation coefficients greater than 0.999. The facile BDETS derivatization coupled with mass spectrometry detection allowed the development of a highly sensitive method for analyzing free fatty acids in seed oil by supercritical CO2 extraction. The established method is highly efficient for seed oil extraction and extremely sensitive for fatty acid profile determination. (C) 2007 Elsevier B.V. All rights reserved.

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A method for the determination of long and short chain free fatty acids (FFAs), using 1-[2-(ptoluenesulfonate)-ethyll-2-phenylimidazole-[4,5-f-9,10-phenanthrene (TSPP) as labeling reagent, has been developed. Identification of FFA derivatives was carried out by HPLC-MS with atmospheric pressure chemical ionization (APCI) in positive ion mode. Gradient elution on an Agilent Eclipse XDB-C-8 column gave good separation of the derivatives. Excellent linear responses were observed and good compositional data could be obtained from as little as 200 mg of bryophyte plants and soil samples. Facile TSPP derivatization coupled with HPLC-APCI-MS analysis allowed the development of a highly sensitive method for the quantitative analysis of trace level of FFAs from biological and natural environmental samples.